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» Learning Models for Ranking Aggregates
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IPM
2008
100views more  IPM 2008»
15 years 26 days ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
112
Voted
MM
2006
ACM
181views Multimedia» more  MM 2006»
15 years 6 months ago
Towards content-based relevance ranking for video search
Most existing web video search engines index videos by file names, URLs, and surrounding texts. These types of video roughly describe the whole video in an abstract level without ...
Wei Lai, Xian-Sheng Hua, Wei-Ying Ma
98
Voted
FLAIRS
2008
15 years 3 months ago
QueSTS: A Query Specific Text Summarization System
Effective extraction of query relevant information present within documents on the web is a nontrivial task. In this paper we present our system called QueSTS, which does the abov...
M. Sravanthi, C. Ravindranath Chowdary, P. Sreeniv...
91
Voted
ECIR
2009
Springer
15 years 10 months ago
Joint Ranking for Multilingual Web Search
Ranking for multilingual information retrieval (MLIR) is a task to rank documents of different languages solely based on their relevancy to the query regardless of query’s langu...
Wei Gao, Cheng Niu, Ming Zhou, Kam-Fai Wong
115
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ICMCS
2006
IEEE
191views Multimedia» more  ICMCS 2006»
15 years 7 months ago
Semantic Multimedia Retrieval using Lexical Query Expansion and Model-Based Reranking
We present methods for improving text search retrieval of visual multimedia content by applying a set of visual models of semantic concepts from a lexicon of concepts deemed relev...
Alexander Haubold, Apostol Natsev, Milind R. Napha...